Coursebooks 2017-2018

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Distributed intelligent systems

ENG-466

Lecturer(s) :

Martinoli Alcherio

Language:

English

Summary

The goal of this course is to provide methods and tools for modeling distributed intelligent systems as well as designing and optimizing coordination strategies. The course is a well-balanced mixture of theory and laboratory exercises using simulation and real hardware platforms.

Content

Keywords

Artificial intelligence, swarm intelligence, distributed robotics, sensor networks, modeling, machine-learning, control

Learning Prerequisites

Required courses

Fundamentals in analysis, probability, and programming for both compiled and interpreted languages

Recommended courses

Basic knowledge in statistics, specific programming language used in the course (C and Matlab), and signals and systems

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Ex-cathedra lecture and assisted exercises

Expected student activities

Attending lectures, carrying out exercises, and reading hand outs.

Assessment methods

Continuous control with final written exam.

Supervision

Office hours Yes
Assistants Yes
Forum No

Resources

Bibliography

Lecture notes, selected papers and book chapters distributed at each lecture.

Websites
Moodle Link

Prerequisite for

R&D activities in engineering

In the programs

  • Data Science, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Energy Management and Sustainability, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Energy Management and Sustainability, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Computer Science, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Computer Science, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Microengineering, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Microengineering, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Computational science and Engineering, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Computational science and Engineering, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Environmental Sciences and Engineering, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Environmental Sciences and Engineering, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 1
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Communication Systems - master program, 2017-2018, Master semester 3
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Computer engineering minor, 2017-2018, Autumn semester
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks
  • Biocomputing minor, 2017-2018, Autumn semester
    • Semester
      Fall
    • Exam form
      Written
    • Credits
      5
    • Subject examined
      Distributed intelligent systems
    • Lecture
      2 Hour(s) per week x 14 weeks
    • Exercises
      3 Hour(s) per week x 14 weeks

Reference week

MoTuWeThFr
8-9
9-10
10-11 CM4
11-12
12-13
13-14 GRB001
GRC002
MA B1 11
14-15
15-16
16-17
17-18
18-19
19-20
20-21
21-22
Lecture
Exercise, TP
Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German